November 4, 2025
5 mins

Top User Research Platforms 2025

Header graphic for the article 'Top User Research Platforms 2025'

User research software isn't what it used to be. The days of insights being locked away in specialist UX research teams are fading fast, replaced by a world where product managers, designers, and even marketers are running their own usability testing, prototype validation, and user interviews. The best UX research platforms powering this shift have evolved from complex enterprise software into tools that genuinely enable teams to test with users, analyze results, and share insights faster.

This isn't just about better software, it's about a fundamental transformation in how organizations make decisions. Let's explore the top user research tools in 2025, what makes each one worth considering, and how they're changing the research landscape.


What Makes a UX Research Platform All-in-One?


The shift toward all-in-one UX research platforms reflects a deeper need: teams want to move from idea to insight without juggling multiple tools, logins, or data silos. A truly comprehensive research platform combines several key capabilities within a unified workflow.

The best all-in-one platforms integrate study design, participant recruitment, multiple research methods (from usability testing to surveys to interviews to navigation testing to prototype testing), AI-powered analysis, and insight management in one cohesive experience. This isn't just about feature breadth, it's about eliminating the friction that prevents research from influencing decisions. When your entire research workflow lives in one platform, insights move faster from discovery to action.

What separates genuine all-in-one solutions from feature-heavy tools is thoughtful integration. The best platforms ensure that data flows seamlessly between methods, participants can be recruited consistently across study types, and insights build upon each other rather than existing in isolation. This integrated approach enables both quick validation studies and comprehensive strategic research within the same environment.

1. Optimal: Best End-to-End UX Research Platform


Optimal has carved out a unique position in the UX research landscape: it’s powerful enough for enterprise teams at Netflix, HSBC, Lego, and Toyota, yet intuitive enough that anyone, product managers, designers, even marketers, can confidently run usability studies. That balance between depth and accessibility is hard to achieve, and it's where Optimal shines.

Unlike fragmented tool stacks, Optimal is a complete User Insights Platform that supports the full research workflow. It covers everything from study design and participant recruitment to usability testing, prototype validation, AI-assisted interviews, and a research repository. You don't need multiple logins or wonder where your data lives, it's all in one place.

Two recent features push the platform even further:

  • Live Site Testing: Run usability studies on your actual live product, capturing real user behavior in production environments.

  • Interviews: AI-assisted analysis dramatically cuts down time-to-insight from moderated sessions, without losing the nuance that makes qualitative research valuable.



One of Optimal's biggest advantages is its pricing model. There are no per-seat fees, no participant caps, and no limits on the number of users. Pricing is usage-based, so anyone on your team can run a study without needing a separate license or blowing your budget. It's a model built to support research at scale, not gate it behind permissioning.

Reviews on G2 reflect this balance between power and ease. Users consistently highlight Optimal's intuitive interface, responsive customer support, and fast turnaround from study to insight. Many reviewers also call out its AI-powered features, which help teams synthesize findings and communicate insights more effectively. These reviews reinforce Optimal's position as an all-in-one platform that supports research from everyday usability checks to strategic deep dives.

The bottom line? Optimal isn't just a suite of user research tools. It's a system that enables anyone in your organization to participate in user-centered decision-making, while giving researchers the advanced features they need to go deeper.

2. UserTesting: Remote Usability Testing


UserTesting built its reputation on one thing: remote usability testing with real-time video feedback. Watch people interact with your product, hear them think aloud, see where they get confused. It's immediate and visceral in a way that heat maps and analytics can't match.

The platform excels at both moderated and unmoderated usability testing, with strong user panel access that enables quick turnaround. Large teams particularly appreciate how fast they can gather sentiment data across UX research studies, marketing campaigns, and product launches. If you need authentic user reactions captured on video, UserTesting delivers consistently.

That said, reviews on G2 and Capterra note that while video feedback is excellent, teams often need to supplement UserTesting with additional tools for deeper analysis and insight management. The platform's strength is capturing reactions, though some users mention the analysis capabilities and data export features could be more robust for teams running comprehensive research programs.

A significant consideration: UserTesting operates on a high-cost model with per-user annual fees plus additional session-based charges. This pricing structure can create unpredictable costs that escalate as your research volume grows, teams often report budget surprises when conducting longer studies or more frequent research. For organizations scaling their research practice, transparent and predictable pricing becomes increasingly important.

3. Maze: Rapid Prototype Testing


Maze understands that speed matters. Design teams working in agile environments don't have weeks to wait for findings, they need answers now. The platform leans into this reality with rapid prototype testing and continuous discovery research, making it particularly appealing to individual designers and small product teams.

Its Figma integration is convenient for quick prototype tests. However, the platform's focus on speed involves trade-offs in flexibility as users note rigid question structures and limited test customization options compared to more comprehensive platforms. For straightforward usability tests, this works fine. For complex research requiring custom flows or advanced interactions, the constraints become more apparent.

User feedback suggests Maze excels at directional insights and quick design validation. However, researchers looking for deep qualitative analysis or longitudinal studies may find the platform limited. As one G2 reviewer noted, "perfect for quick design validation, less so for strategic research." The reporting tends toward surface-level metrics rather than the layered, strategic insights enterprise teams often need for major product decisions.

For teams scaling their research practice, some considerations emerge. Lower-tier plans limit the number of studies you can run per month, and full access to card sorting, tree testing, and advanced prototype testing requires higher-tier plans. For teams running continuous research or multiple studies weekly, these study caps and feature gates can become restrictive. Users also report prototype stability issues, particularly on mobile devices and with complex design systems, which can disrupt testing sessions. Originally built for individual designers, Maze works well for smaller teams but may lack the enterprise features, security protocols, and dedicated support that large organizations require for comprehensive research programs.

4. Dovetail: Research Centralization Hub

Dovetail has positioned itself as the research repository and analysis platform that helps teams make sense of their growing body of insights. Rather than conducting tests directly, Dovetail shines as a centralization hub where research from various sources can be tagged, analyzed, and shared across the organization. Its collaboration features ensure that insights don't get buried in individual files but become organizational knowledge.

Many teams use Dovetail alongside testing platforms like Optimal, creating a powerful combination where studies are conducted in dedicated research tools and then synthesized in Dovetail's collaborative environment. For organizations struggling with insight fragmentation or research accessibility, Dovetail offers a compelling solution to ensure research actually influences decisions.

6. Lookback: Moderated User Interviews


Lookback specializes in moderated user interviews and remote testing, offering a clean, focused interface that stays out of the way of genuine human conversation. The platform is designed specifically for qualitative UX work, where the goal is deep understanding rather than statistical significance. Its streamlined approach to session recording and collaboration makes it easy for teams to conduct and share interview findings.

For researchers who prioritize depth over breadth and want a tool that facilitates genuine conversation without overwhelming complexity, Lookback delivers a refined experience. It's particularly popular among UX researchers who spend significant time in one-on-one sessions and value tools that respect the craft of qualitative inquiry.

7. Lyssna: Quick and lite design feedback


Lyssna (formerly UsabilityHub) positions itself as a straightforward, budget-friendly option for teams needing quick feedback on designs. The platform emphasizes simplicity and fast turnaround, making it accessible for smaller teams or those just starting their research practice.

The interface is deliberately simple, which reduces the learning curve for new users. For basic preference tests, first-click tests, and simple prototype validation, Lyssna's streamlined approach gets you answers quickly without overwhelming complexity.

However, this simplicity involves significant trade-offs. The platform operates primarily as a self-service testing tool rather than a comprehensive research platform. Teams report that Lyssna lacks AI-powered analysis, you're working with raw data and manual interpretation rather than automated insight generation. The participant panel is notably smaller (around 530,000 participants) with limited geographic reach compared to enterprise platforms, and users mention quality control issues where participants don't consistently match requested criteria.

For organizations scaling beyond basic validation, the limitations become more apparent. There's no managed recruitment service for complex targeting needs, no enterprise security certifications, and limited support infrastructure. The reporting stays at a basic metrics level without the layered analysis or strategic insights that inform major product decisions. Lyssna works well for simple, low-stakes testing on limited budgets, but teams with strategic research needs, global requirements, or quality-critical studies typically require more robust capabilities.

Emerging Trends in User Research for 2025


The UX and user research industry is shifting in important ways:

Live environment usability testing is growing. Insights from real users on live sites are proving more reliable than artificial prototype studies. Optimal is leading this shift with dedicated Live Site Testing capabilities that capture authentic behavior where it matters most.

AI-powered research tools are finally delivering on their promise, speeding up analysis while preserving depth. The best implementations, like Optimal's Interviews, handle time-consuming synthesis without losing the nuanced context that makes qualitative research valuable.

Research democratization means UX research is no longer locked in specialist teams. Product managers, designers, and marketers are now empowered to run studies. This doesn't replace research expertise; it amplifies it by letting specialists focus on complex strategic questions while teams self-serve for straightforward validation.

Inclusive, global recruitment is now non-negotiable. Platforms that support accessibility testing and global participant diversity are gaining serious traction. Understanding users across geographies, abilities, and contexts has moved from nice-to-have to essential for building products that truly serve everyone.

How to Choose the Right Platform for Your Team


Forget feature checklists. Instead, ask:

Do you need qualitative vs. quantitative UX research? Some platforms excel at one, while others like Optimal provide robust capabilities for both within a single workflow.

Will non-researchers be running studies (making ease of use critical)? If this is your goal, prioritize intuitive interfaces that don't require extensive training.

Do you need global user panels, compliance features, or AI-powered analysis? Consider whether your industry requires specific certifications or if AI-assisted synthesis would meaningfully accelerate your workflow.

How important is integration with Figma, Slack, Jira, or Notion? The best platform fits naturally into your existing stack, reducing friction and increasing adoption across teams.


Evaluating All-in-One Research Capabilities

When assessing comprehensive research platforms, look beyond the feature list to understand how well different capabilities work together. The best all-in-one solutions excel at data continuity, participants recruited for one study can seamlessly participate in follow-up research, and insights from usability tests can inform survey design or interview discussion guides.

Consider your team's research maturity and growth trajectory. Platforms like Optimal that combine ease of use with advanced capabilities allow teams to start simple and scale sophisticated research methods as their needs evolve, all within the same environment. This approach prevents the costly platform migrations that often occur when teams outgrow point solutions.

Pay particular attention to analysis and reporting integration. All-in-one platforms should synthesize findings across research methods, not just collect them. The ability to compare prototype testing results with interview insights, or track user sentiment across multiple touchpoints, transforms isolated data points into strategic intelligence.

Most importantly, the best platform is the one your team will actually use. Trial multiple options, involve stakeholders from different disciplines, and evaluate not just features but how well each tool fits your team's natural workflow.

The Bottom Line: Powering Better Decisions Through Research


Each of these platforms brings strengths. But Optimal stands out for a rare combination: end-to-end research capabilities, AI-powered insights, and usability testing at scale in an all-in-one interface designed for all teams, not just specialists.

With the additions of Live Site Testing capturing authentic user behavior in production environments, and Interviews delivering rapid qualitative synthesis, Optimal helps teams make faster, better product decisions. The platform removes the friction that typically prevents research from influencing decisions, whether you're running quick usability tests or comprehensive mixed-methods studies.

The right UX research platform doesn't just collect data. It ensures user insights shape every product decision your team makes, building experiences that genuinely serve the people using them. That's the transformation happening at the moment; Research is becoming central to how we build, not an afterthought.

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Transforming digital experiences: Optimal Workshop's radical refresh

At Optimal Workshop, we've always prided ourselves on being pioneers in the field of UX research tools. Since our inception, we've been the go-to platform for UX researchers and designers looking to conduct card sorting, tree testing, and other critical user research activities. Our tools have helped shape the digital experiences of some of the world's leading companies.

The digital landscape is ever-changing, and with it, the needs of the professionals who create and optimize digital experiences. As we've grown and evolved alongside the industry, we've recognized the need to expand our reach and refine our value proposition to better serve not just UX researchers, but all professionals involved in delivering exceptional digital experiences.

That's why we're excited to announce a significant brand refresh and value pivot for Optimal Workshop. This evolution isn't just about a new coat of paint – it's a fundamental shift in how we position ourselves and the value we provide to our users and the broader digital experience community.

Why fix it if it ain’t broke? 💔🔨

Expanding Our User Base

While we've built a strong reputation among UX researchers, we've recognized that there's a broader audience of professionals who benefit from our tools and expertise. Product managers, marketers, customer experience specialists, and others involved in shaping digital experiences often lack access to professional-grade user research tools or the knowledge to effectively implement them.

Our brand refresh aims to make Optimal Workshop more accessible and relevant to this wider circle of professionals, without losing the deep respect we've earned from UX experts.

Adapting to market changes

The UX research landscape has evolved significantly since we first entered the market. With the proliferation of prototyping tools and the increasing speed of digital product development, there's been a shift away from extensive upfront research. However, we firmly believe that incorporating the voice of the customer throughout the development process is more critical than ever.

Our pivot allows us to emphasize the importance of integrating user research and insights at various stages of the digital experience lifecycle, not just during initial design phases.

Leveraging our expertise

As pioneers in the field, we have accumulated a wealth of knowledge about best practices in UX research and digital experience optimization. Our brand refresh positions us not just as a tool provider, but as a trusted partner and thought leader in the industry. We're doubling down on our commitment to sharing knowledge, standardizing best practices, and elevating the work of exceptional practitioners in the field.

Meeting evolving business needs through effective UX

The UX industry is evolving rapidly, with increasing investment and a diverse range of roles getting involved. From junior designers leveraging AI to seasoned researchers with deep expertise, the landscape is rich with talent and tools. However, the true value lies in how effectively these resources translate into business outcomes.

Optimal Workshop recognizes that exceptional digital experiences are no longer just nice-to-have – they're critical for engagement, conversion, and overall business success. Our tools bridge the gap between UX insights and tangible ROI by:

  • Democratizing research: Enabling teams across experience levels to gather valuable user data quickly and efficiently.
  • Accelerating decision-making: Providing fast, actionable insights that reduce design iterations and time-to-market.
  • Enhancing team effectiveness: Facilitating collaboration and knowledge sharing between junior and senior team members.
  • Driving business value: Directly linking UX improvements to key performance indicators and bottom-line results.

In a landscape where basic UX practices are becoming table stakes, Optimal Workshop empowers organizations to go beyond the basics. We help teams leverage the full spectrum of UX expertise – from AI-assisted analysis to seasoned human insight – to create digital experiences that truly set businesses apart and deliver measurable returns on UX investment.

What's changing at Optimal Workshop 🐛🦋

1. Best-in-class research & insights platform

While our core tools remain a critical part of our offering, we're broadening our focus to position Optimal Workshop as a best-in-class research & insights platform for digital experience professionals. This means developing new tools, workflows, and integrations that cater to a wider range of use cases and user types.

2. Accessibility without compromise

We're committed to making our professional-grade tools more accessible to a broader audience without sacrificing the depth and rigor that our expert users expect. This means developing new onboarding experiences, creating more intuitive interfaces, and providing educational resources to help users at all levels get the most out of our platform.

3. Championing best practices

As part of our evolution, we're placing a greater emphasis on identifying, sharing, and standardizing best practices in digital experience research and optimization. Through case studies, partnerships with industry leaders, and our own thought leadership content, we aim to elevate the entire field of digital experience design.

4. Fostering a community of excellence

We're doubling down on our commitment to building and nurturing a community of digital experience professionals. This includes expanding our educational offerings, hosting more events and webinars, and creating opportunities for our users to connect and learn from each other. 

5. Emphasizing outcomes and ROI

We're aligning our messaging and product development with the real-world impact our users are seeking. That’s why the new names for our tools emphasize what each tool helps you achieve, rather than the technical methodology behind it. This outcome-focused approach helps users quickly identify which tool is right for their specific needs.

How our evolution benefits you 🚀

For our long-time users, rest assured that the tools and features you know and love aren't going anywhere, but their names are changing to plain English terms to be more approachable for professionals who may not have a background in UX research. In fact, our UXR platform is only going to get better as we invest in improvements and new capabilities. You'll also benefit from an expanded community of practitioners and a wealth of new resources to help you continue to grow and excel in your field.

For professionals who may be new to Optimal Workshop or to formalized user research in general, our refresh means it's easier than ever to get started with professional-grade tools and methodologies. We're here to support you at every step, from your first card sort to building a comprehensive, data-driven approach to optimizing digital experiences.

Join us in shaping tomorrow's digital experiences 🌟

This brand refresh and value pivot mark an exciting new chapter for Optimal Workshop. We're committed to continuing our tradition of excellence while expanding our reach and impact in the world of digital experiences.

As we move forward, we'll be rolling out new features, resources, and initiatives that align with our refreshed brand and value proposition. We're excited to partner with our users – both new and long-standing – to push the boundaries of what's possible in creating truly exceptional digital experiences.

Thank you for being part of the Optimal Workshop community. Whether you're a UX research veteran or just starting your journey in optimizing digital experiences, we're here to support you with the best tools, knowledge, and community in the industry. Together, we can shape the future of digital experiences and make the online world more intuitive, efficient, and enjoyable for everyone.

Onwards and upwards,

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Header graphic for the article 'The Latest from Optimal Interviews: Automating Insights and Building...'
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The Latest from Optimal Interviews: Automating Insights and Building a Research Repository

Since launching Optimal Interviews in December, we've been tracking closely as research, product, and design teams put it to the test. The tool is driving a real transformation in workflows, and we’re energized by the feedback so far.

  • “What took me manually 3 weeks to analyze 4 years ago, with the AI functionality, now took me less than 5 minutes. It’s crazy!”
  • “This changes everything for how we work with interview data.”
  • “The insights were spot on, and I was impressed by how well the tool understood the themes in the interview.”
  • "I tried it for the first time this week. I was impressed by the amount of insights." 

Optimal Interviews was built to remove the friction from one of research's most time-intensive steps: analyzing interview recordings. With automated transcription, AI-generated insights, highlight reels, summaries, and citations, the tool transforms hours of manual review into something that happens in minutes.

But we’re not done yet. We’re constantly building and evolving based on your feedback. With the latest releases like automatic recording, every session can now be captured and stored automatically, helping teams build a centralized user research repository and supporting continuous research.

Here’s a look at how teams are using Optimal Interviews, the latest work in this space, and where we’re headed.

How Teams Are Using Optimal Interviews

Researchers across industries are leveraging Optimal Interviews in a variety of ways. Here are just a few examples from current users:

  • Understanding customer interactions with voice assistants and AI to inform user experience and product development.

  • Studying habits, purchasing patterns, and customer frustrations to optimize experiences and conversions.

  • Evaluating how users navigate and interact with customer-facing websites to improve user experience.

  • Gathering feedback from employees about internal tools and systems to improve workplace efficiency and satisfaction.

Recent Enhancements: New Features for More Automation

It’s been a busy few months, and we’ve shipped several meaningful updates over the past few months. Here’s what’s new:

1. Multilanguage Support for Global Research


Optimal Interviews now supports 13 languages, automatically detecting and transcribing interviews in their original languages. AI Chat is also ready to assist your team in these languages, ensuring a seamless experience no matter what language your team is using.

2. Video Conferencing Integrations


Sync Optimal Interviews with your Google Meet, Zoom, or Microsoft Teams account to automatically generate and attach meeting links to sessions scheduled with the Optimal scheduler.

3. Automatic Recording


You can choose to automatically record and upload sessions scheduled through Optimal, eliminating the need for manual uploads. Sessions can now be captured and stored automatically, enabling teams to conduct continuous research. Accumulate insights over time in a central repository, where they remain always accessible and ready to be explored further with AI Chat.

4. Custom Topics


Custom topics allow you to define specific areas of interest for AI to focus on for interview insights. As more recordings are added, the tool will automatically generate insights based on these topics, so you can easily filter and focus on the data that matters most to you.



What’s Next for Optimal Interviews


Our ultimate goal? To keep finding ways to reduce manual effort. Let Optimal streamline your research workflow, automate time-consuming tasks, and help you build out your qualitative research repository.

We have a number of significant additions in development, including:

Calendar Integrations


Sync you and your team’s calendars (Google and Microsoft) with Optimal Interviews so you can easily schedule and sync you and your team’s interview availability. Avoid double booking and get scheduled sessions automatically added to your calendar.

Enhanced Privacy & Messaging System


Interviewers and participants will be able to message each other directly through Optimal. This helps protect personal contact details e.g. email addresses and reduces unintended bias, such as revealing the study creator’s organization. Teams can coordinate, add clarifications, and follow up more efficiently without exposing personal information.



We'd Love to Hear From You


How are you using Optimal Interviews in your research? What's working well, and what would you like to see us build next?

And if you're just getting started, our Interviews 101 guide is a great place to begin.

Want to learn more about how to harness the full potential of Optimal Interviews and AI Chat? Register for this live training.

Optimal Interviews is updated continuously and shaped with feedback from users. Follow our release notes or share your thoughts via live chat or feature request form to give your feedback and stay in the loop.

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Anatomy of a Website Footer: Key Elements, UX Best Practices, and Examples

Definition of a website footer

The footer of a website sits at the very bottom of every single web page and contains links to various types of content on your website. It’s an often overlooked component of a website, but it plays several important roles in your information architecture (IA) – it’s not just some extra thing that gets plonked at the bottom of every page.

Getting your website footer right matters!

The footer communicates to your website visitors that they’ve reached the bottom of the page and it’s also a great place to position important content links that don’t belong anywhere else – within reason. A website footer is not a dumping ground for random content links that you couldn’t find a home for, however there are some content types that are conventionally accessed via the footer e.g., privacy policies and copyright information just to name a few.

Lastly, from a usability and navigation perspective, website footers can serve as a bit of a safety net for lost website visitors. Users might be scrolling and scrolling trying to find something and the footer might be what catches them and guides them back to safety before they give up on your website and go elsewhere. Footers are a functional and important part of your overall IA, but also have their own architecture too.

Read on to learn about the types of content links that might be found in a footer, see some real life examples and discuss some approaches that you might take when testing your footer to ensure that your website is supporting your visitors from top to bottom.

What belongs in a website footer

Deciding which content links belong in your footer depends entirely on your website. The type of footer, its intent and content depends on its audience of your customers, potential customers and more — ie your website visitors. Every website is different, but here’s a list of links to content types that might typically be found in a footer.

  • Legal content that may include: Copyright information, disclaimer, privacy policy, terms or use or terms of service – always seek appropriate advice on legal content and where to place it!
  • Your site map
  • Contact details including social media links and live chat or chat bot access
  • Customer service content that may include: shipping and delivery details, order tracking, returns, size guides, pricing if you’re a service and product recall information.
  • Website accessibility details and ways to provide feedback 
  • ‘About Us’ type content that may include: company history, team or leadership team details, the careers page and more 
  • Key navigational links that also appear in the main navigation menu that is presented to website visitors when they first land on the page (e.g. at the top or the side)

Website footer examples

Let’s take a look at three diverse real life examples of website footers.


IKEA US

IKEA’s US website has an interesting double barrelled footer that is also large and complex – a ‘fat footer’ as it’s often called – and its structure changes as you travel deeper into the IA. The below image taken from the IKEA US home page shows two clear blocks of text separated by a blue horizontal line. Above the line we have the heading of ‘All Departments’ with four columns showing product categories and below the line there are seven clear groups of content links covering a broad range of topics including customer service information, links that appear in the top navigation menu and careers. At the very bottom of the footer there are social media links and the copyright information for the website.

An image of IKEA US home page footer on their website, from 2019.
IKEA US home page footer (accessed May 2019)

As expected, IKEA’s overall website IA is quite large, and as a website visitor clicks deeper into the IA, the footer starts to change. On the product category landing pages, the footer is mostly the same but with a new addition of some handy breadcrumbs to aid navigation (see below image).

An image of IKEA US product page footer on their website, from 2019.
IKEA US website footer as it appears on the product category landing page for Textiles & Rugs (accessed May 2019).

When a website visitor travels all the way down to the individual product page level, the footer changes again. In the below image found on the product page for a bath mat, while the blue line and everything below it is still there, the ‘All Departments’ section of the footer has been removed and replaced with non-clickable text on the left hand side that reads as ‘More Bath mats’ and a link on the right hand side that says ‘Go to Bath mats’. Clicking on that link takes the website visitor back to the page above.

IKEA US website footer as it appears on the product page for a bath mat, from 2019.
IKEA US website footer as it appears on the product page for a bath mat (accessed May 2019).

Overall, evolving the footer content as the website visitor progresses deeper into the IA is an interesting approach - as the main page content becomes more focussed as does the footer while still maintaining multiple supportive safety net features.

M.A.C Cosmetics US

The footer for the US website of this well known cosmetics brand has a four part footer. At first it appears to just have three parts as shown in the image below: a wide section with seven content link categories covering a broad range of content types as the main part with a narrow black strip on either end of it making up the second and third parts. The strip above has loyalty program and live chat links and the strip below contains mostly links to legal content.

MAC Cosmetics US website footer with three parts as it appears on the home page upon first glance, from 2019.
MAC Cosmetics US website footer with three parts as it appears on the home page upon first glance (accessed May 2019).


When a website visitor hovers over the ‘Join our loyalty program’ call to action (CTA) in that top narrow strip, the hidden fourth part of the footer which is slightly translucent pulls up like a drawer and sits directly above the strip capping off the top of the main section (as shown in the below image). This section contains more information about the loyalty program and contains further CTAs to join or sign in. It disappears when the cursor is moved away from the hover CTA or it can be collapsed manually via the arrow in the top right hand corner of this fourth part. It’s an interesting and unexpected interaction to have with a footer, but it adds to the overall consistent and cohesive experience of this website because it feels like the footer is an active participant in that experience.

MAC Cosmetics US website footer as it appears on the home page with all four parts visible, from 2019.

MAC Cosmetics US website footer as it appears on the home page with all four parts visible (accessed May 2019).


Domino’s Pizza US

Domino’s Pizza’s US website has a reasonably flat footer in terms of architecture but it occupies as much space as a more complex or deeper footer. As shown in the image below, its content links are presented horizontally over three rows on the left hand side of the footer and these links are visually separated by forward slashes. It also displays social media links and some advertising content on the right hand side. The most interesting feature of this footer is the large paragraph of text titled ‘Legal Stuff’ below the links. Delightfully it uses direct, clear and plain language and even includes a note about delivery charges not including tips and to ‘Please reward your driver for awesomeness’.

Domino’s Pizza US website footer as it appears on the home page, from 2019.

Domino’s Pizza US website footer as it appears on the home page (accessed May 2019).

How to test a website footer

Like every other part of your website, the only way you’re going to know if your footer is supporting your website visitors is if you test it with them. When testing a website’s IA overall, the footer is often excluded. This might be because we want to focus on other areas first or maybe it’s because testing everything at once has the potential to be overwhelming for our research participants.

Testing a footer is fairly easy thing to do and there’s no right or wrong approach – it really does depend on where you are up to in your project, the resources you have available to you and the size and complexity of the footer itself!

If you’re designing a footer for a new website there’s a few ways you might approach ensuring your footer is best supporting your website visitors. If you’re planning to include a large and complex footer, it’s a good idea to start by running an open card sort just on those footer links. An open card sort will help you understand how your website visitors expect those content links in your footer to be grouped and what they think those groups should be called.

If you’re redesigning an existing website, you might first run a tree test on the existing footer to benchmark test it and to pinpoint the exact issues. You might tree test just the footer in the study or you might test the whole website including the footer. Optimal's tree testing is really flexible and you can tree test just a small section of an IA or you can do the whole thing in one go to find out where people are getting lost in the structure. Your approach will depend on your project and what you already know so far. If you suspect there may be issues with the website’s footer, for example, if no one is visiting it and/or you’ve been receiving customer service requests from visitors to help them find content that only lives in the footer,  it would be a good idea to consider isolating it for testing. This will help you avoid any competition between the footer and the rest of your IA as well as any potential confusion that may arise from duplicated tree branches (i.e. when your footer contains duplicate labels).

If you’re short on time and there aren’t any known issues with the footer prior to a redesign, you might tree test the entire IA in your benchmark study, iterate your design and then along with everything else, include testing activities for your footer in your moderated usability testing plan. You might include a usability testing scenario or question that requires your participants to complete a task that involves finding content that can only be found in the footer (e.g., shipping information if it’s an ecommerce website). Also keep a close eye on how your participants are moving around the page in general and see if/when the footer comes into play – is it helping people when they’re lost and scrolling? Or is it going unnoticed? If so, why and so on. Talk to your research participants like you would about any other aspect of your website to find out what’s going on there. When resources are tight, use your best judgement and choose the research approach that’s best for your situation, we’ve all had moments where we’ve had to be pragmatic and do our best with what we have.

When you’re at a stage in your design process where you have a visual design or concept for your footer, you could also run a first-click test. First-click tests are quick and easy and will help you determine how your website visitors are faring once they reach your footer and if they can identify the correct content link to complete their task. Studies can be run remotely or in person and just like the rest of the tools in Optimal's user research platform, are super quick to run and great for reaching website visitors all over the world simply by sharing a link to the study.

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